Artificial intelligence is no longer a futuristic concept; it’s a powerful reality transforming businesses, governments, and research institutions worldwide. Google’s AI solutions are at the forefront of this revolution, empowering organizations to innovate faster and achieve unprecedented efficiencies.
This article, originally published on the Transform with Google Cloud blog on April 12, 2024, and last updated on April 22, 2026, delves into how customers are leveraging AI. What began as a nascent trend at Next ‘24 has rapidly matured into a full-blown “agentic enterprise” era, driven by enthusiastic customer adoption.
The Rapid Rise of the Agentic Enterprise
The pace of technological change driven by AI is truly astounding, arguably the fastest we’ve ever witnessed. From startups to global corporations, thousands of organizations are now deploying production AI and agentic systems in meaningful ways. This widespread adoption was clearly evident at Next ‘26, where countless companies showcased their transformative AI journeys.
To celebrate these groundbreaking achievements, we’ve significantly expanded our original list of AI adopters, moving well beyond the initial 101 examples. The vast majority of these new entries highlight impactful applications of agentic AI, built with robust Google tools like Gemini Enterprise, Gemini CLI, Security Command Center, and our advanced AI Hypercomputer infrastructure stack.
AI Uncovers Key Trends in AI Adoption
Given the immense size of this growing dataset, manually sifting through it for insights would be an Herculean task. Therefore, it was only fitting to enlist the help of AI itself to analyze the trends. We uploaded the comprehensive dataset to Gemini Enterprise, leveraging the latest Gemini Pro models for their deep research capabilities.
We tasked Gemini with surfacing the ten most notable trends and insights from the customer data. Our team then carefully reviewed the AI’s output, selecting our five favorite insights and refining them with our own expert input. These five key trends beautifully encapsulate the thousands of conversations about generative AI that have taken place over the past two years.
- The explosive growth of AI-powered customer service agents, improving user experience and operational efficiency.
- Increasing reliance on AI for employee productivity tools, automating repetitive tasks and freeing up human talent for higher-value work.
- The emergence of AI in creative fields, assisting with content generation, design, and personalized marketing campaigns.
- Significant advancements in AI for code generation and development, streamlining software engineering workflows.
- Strengthened data analysis and security protocols powered by AI, enhancing threat detection and compliance across enterprises.
We hope these insights spark inspiration for your own business or encourage you to explore new possibilities. We invite you to try Gemini Enterprise or NotebookLM for yourself, to uncover unique ideas and solutions for your teams. Who knows, your innovative use case might even make it onto our list next time!
Industry Applications and Agent Types
Our expanded list is meticulously organized to provide clarity and facilitate discovery. It’s structured across 11 major industry groups, making it easy to find relevant examples for your sector. Within each industry, the applications are further categorized by six distinct agent types, showcasing the diverse roles AI plays in modern enterprises.
These agent types include: Customer agents (improving service and engagement), Employee agents (boosting internal productivity), Creative agents (assisting in content and design), Code agents (streamlining development), Data agents (enhancing analysis and insights), and Security agents (fortifying digital defenses). This edition features 301 new entries, each denoted with an asterisk (*) before the organization’s name.
For example, a notable new entry is Priceline, which leverages Wiz to ensure that all its acquisitions comply rigorously with its established security framework, irrespective of the diverse cloud environments involved. This highlights AI’s critical role in maintaining robust security posture across complex, evolving infrastructures.
Source: Google Blog (The Keyword)
